PDF全文阅读

马小平1 ,  董海东2 , 3  ,  刘   栋2 , 3 ,  董冠一4 ,5  ,  蔡燕霞4 ,5

 

( 1 .  河北工程大学 ，邯郸 056000 ;  2.  浙江顺畅高等级公路养护有限公司 ，杭州 310000 ;

3. 公路数智养护浙江省工程研究中心 ，杭州 310000;  4.  中路高科（北京） 公路技术有限公司 ，北京 100088 ;

5 .  交通运输部公路科学研究院 ，北京 100088)

摘   要 ：为了分析各粒径集料对骨架强度的影响和承载比的灰色关联度。采用逐级填充理论和承载比试验  方法确定最优骨架的集料掺配比和 CBR 值 ，运用 MATLAB 软件计算各粒径集料掺配比对承载比的灰色关联度。 试验结果表明：一级填充矿料骨架 CBR 值和矿料密度均出现两个峰值 ，峰值点处 CA1 ∶C A2 的比例分别为 6 ∶4  和 3 ∶7 ,  此时骨架结构承载能力较优 ；二级填充 CA12 ∶C A3 = 9 ∶1 时 CBR 值最大 ，密度最小 ，即各集料填充比例  为 CA1 ∶C A2 ∶C A3 = 54 ∶36 ∶10 时可形成最稳定的骨架结构 ；各粒径集料对承载比关联度最大为 CA1 ,   CA2 次之， CA3 最小 ，即 CA1 构成最佳骨架结构 ，承担主要承载力作用 ，使沥青混合料在荷载作用下能保持稳定。

关键词：矿料级配 ；MATLAB ;  承载比 ；灰色关联度 ；骨架强度

中图分类号：U414           文献标志码：A    

       

文章编号： 1005- 8249   (2025)  03- 0019- 05 

DOI:10. 19860/j.cnki.issn1005 - 8249.2025 .03 .004

MA Xiaoping¹, DONG Haidong^2,3, LIU Dong^2,3, DONG Guanyi^4,5, CAI Yanxia^4,5

(1.Hebei University of Engineering, Handan 056000, China; 2.Zhejiang Smooth High-grade Highway Maintenance Co., Ltd., Hangzhou 310000, China; 3.Zhejiang Engineering Research Center of Highway Digital Intelligence Maintenance, Hangzhou 310000, China; 4.Middle Road Hi-Tech (Beijing) Highway Technology Co., Ltd., Beijing 100088, China; 5.Research Institute of Highway Science, Ministry of Transport, Beijing, 100088, China)

Abstract: In order to analyze the effect of aggregate of each particle size on the strength of the skeleton and the grey correlation of the bearing ratio. The aggregate mixing ratio and CBR value of the optimal skeleton were determined by the stepwise filling theory and the bearing ratio test method, and the grey correlation degree of the aggregate mixing ratio of each particle size was calculated by Matlab software. The test results show that there are two peaks in the CBR value and density of the first-stage filled ore framework, and the ratio of CA1:CA2 at the peak point is 6:4 and 3:7, respectively, and the bearing capacity of the skeleton structure is better. When the secondary filling CA12:CA3=9:1 has the highest CBR value and the smallest density, that is, the most stable skeleton structure can be formed when the filling ratio of each aggregate is CA1:CA2:CA3=54:36:10. The correlation degree of each particle size aggregate to the bearing ratio is the largest, followed by CA2, and CA3 is the smallest, that is, CA1 constitutes the best skeleton structure and bears the main bearing capacity, so that the asphalt mixture can remain stable under the load.

Key words: mineral aggregate gradation; Matlab; Bearing Ratio; gray correlation degree; skeleton strength

基金项目：浙江省交通运输厅科技计划项目  (202216) ;  江西省自然科学基金青年基金项目  (20212BAB214042) 。

作者简介： 马小平  (1995—) ,  男 ，硕士 ，研究方向：路面结构与材料。

收稿日期：2023 - 10 - 19